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A Modified Weighted Least Squares Approach to Range Estimation Problem

  • Whang, Ick-Ho (Guidance & Control Department, Agency for Defense Development) ;
  • Ra, Won-Sang (Guidance & Control Department, Agency for Defense Development)
  • 발행 : 2003.07.21

초록

A practical recursive weighted least square(WLS) solution is proposed to solve the passive ranging problem. Apart from the previous works based on the extended Kalman filter(EKF), to ensure the convergency at long-range, the proposed scheme makes use of line-of-sight(LOS) rate instead of bearing information. The influence of LOS rate measurement errors is investigated and it is asserted that the WLS estimates contain bias and scale factor errors. Together with simple compensation algorithm, the estimation errors of proposed filter can be reduced dramatically.

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